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---
license: cc-by-4.0
language: en
---
This is the skill dataset created by:
```
@inproceedings{green-etal-2022-development,
title = "Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions",
author = "Green, Thomas and
Maynard, Diana and
Lin, Chenghua",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.128",
pages = "1201--1208",
}
```
There are no document delimiters, task is on the sentence-level.
Number of samples (sentences):
- train: 8669
- dev: 964
- test: 335
Sources:
- TotalJobs (UK): https://www.kaggle.com/datasets/airiddha/trainrev1
Type of tags:
- Generic BIO tags with key `tags_skill`
- Finer grained labels of BIO tags are
- `SKILL`: Tasks that can be performed, or attributes and abilities (including soft skills) that enable people to perform tasks.
- `QUALIFICATION`: Official certifications obtained through taking a course or passing an exam or appraisal.
- `EXPERIENCE`: Lengths of time relating to a position or skill.
- `OCCUPATION`: Job titles, including abbreviations and acronyms.
- `DOMAIN`: Areas of industry in which someone might have knowledge or experience.
- Also has part-of-speech tags, indicated by `pos`.
Sample:
```
{
"idx": 959,
"tokens": ["negotiating", "and", "commercial", "skills", "Conscientious", "and", "thorough", "by", "nature"],
"tags_skill": ["B-SKILL", "I-SKILL", "I-SKILL", "I-SKILL", "I-SKILL", "O", "B-SKILL", "O", "O"],
"pos": ["NN", "CC", "JJ", "NNS", "JJ", "CC", "JJ", "IN", "NN"]
}
``` |